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This example may serve as a design framework and facilitate future research. We provide a selection of results from simulations to highlight some tradeoffs in the design decisions. Bing-Yang Lin, Daria Dziubałtowska, Piotr Macek, Andreas Penzkofer, Sebastian Müller. In this paper, we investigate the performance of the Tangle 2. We use an agent-based simulation model that incorporates the main features of the Tangle 2. Our experimental results demonstrate that the Tangle 2.
We further show that the common coin mechanism in Tangle 2. Moreover, the experimental results confirm that the protocol can achieve around 1s confirmation time in typical scenarios and that the confirmation times of non-conflicting transactions are not affected by the presence of conflicts.
Throughput is a key property for any distributed ledger technology. However, limited resources, such as bandwidth or node computational power, can lead to network congestion when nodes try to issue more transactions than the network can handle. Consequently, priority criteria are necessary to determine whether a transaction should be accepted or not. In this paper, we present a novel adaptive rate control algorithm for the Tangle, a new-generation distributed ledger allowing large throughput.
Our approach combines various concepts, such as resource tests and Proof-of-Work with dynamic difficulty. Our algorithm not only serves as an anti-spam mechanism, but also achieves fair representation. This is to be contrasted with pure Proof-of-Work blockchains, which lead to wasteful mining races. Distributed networks have been widely studied in literature. However, the blockchain paradigm has inspired to revisit some of the results under a different point of view.
However, the lack of miners makes the network vulnerable to denial of service attacks. We propose an anti spam mechanism based on the solution of a cryptographic puzzle: When a node wants to generate a new transaction, it dynamically adapts the difficulty of the puzzle depending on its target throughput and on its reputation score.
Specifically, the adaptive difficulty property guarantees that any node, even with low hashing power, can achieve similar throughput for a given reputation. In the paper, we prove this claim both analytically and through simulations, and we show that fairness between low- and high-power nodes is indeed reached. Primality generation is the cornerstone of several essential cryptographic systems.
The problem has been a subject of deep investigations, but there is still a substantial room for improvements. Typically, the algorithms used have two parts trial divisions aimed at eliminating numbers with small prime factors and primality tests based on an easy-to-compute statement that is valid for primes and invalid for composites. In this paper, we will showcase a technique that will eliminate the first phase of the primality testing algorithms.
This can be particularly beneficial in the case of decentralized environments for shared RSA keys as the initial trial division part of the key generation algorithms can be avoided at no cost.
This also significantly reduces the communication complexity. Another essential contribution of the paper is the introduction of a new one-way function that is computationally simpler than the existing ones used in public-key cryptography.
This function can be used to create new random number generators, and it also could be potentially used for designing entirely new public-key encryption systems.
The high energy consumption of proof of work-based distributed ledgers has become an important environmental concern. Bitcoin, for example, consumes as much energy in a year as a developed country. Alternative consensus mechanisms, such as proof of stake, have been shown to use drastically less energy than proof of work-based DLTs. For example, the IOTA DLT, built upon a directed acyclic graph DAG architecture, uses an alternative consensus mechanism that requires significantly less energy than other DLTs.
Because the DLT space is constantly and rapidly evolving, the question of how much energy DLTs actually consume demands to be continuously studied and answered. Studying the energy consumption of alternative DLTs is important as it contributes to improving the understanding of the general public that not all cryptocurrencies use excessive energy resources.
Previous research into the energy consumption of the IOTA network has shown that an optimization in the overall protocol correlates to an optimization in energy consumption. The planned IOTA 2. This report presents the results of measuring the energy consumption of a private GoShimmer network while comparing these findings to previous research into the current mainnet, which is called Chrysalis.
The main findings of this report are that the IOTA 2. Additionally, this report defines a model to estimate the total annual energy consumption of an IOTA network. This model should be significant for future research as it enables a way to estimate the total cost of running the IOTA network as well as its carbon emissions.
Moreover, having an annual power consumption metric allows for better objective comparisons to different DLTs. RSA cryptography is still widely used. Some of its applications e. Instead, the factorization must remain unknown to all the network participants. To this date, the existing algorithms are either computationally expensive, or limited to two-party settings. In this work, we design a decentralized multi-party computation algorithm able to generate efficiently the RSA modulus.
Proof of Work is a prevalent mechanism to prove investmentof time in blockchain projects. However the use of massive parallelismand specialized hardware gives an unfair advantage to a small portion ofnodes and raises environmental and economical concerns.
In this paperwe provide an implementation study of two Verifiable Delay Functions, anew cryptographic primitive achieving Proof of Work goals in an unpar-allelizable way. We provide simulation results and an optimization basedon a multiexponentiation algorithm. Permissionless distributed ledgers provide a promising approach to deal with the Internet of Things IoT paradigm.
Since IoT devices mostly generate data transactions and micropayments, distributed ledgers that use fees to regulate the network access are not an optimal choice. In this paper, we study a feeless architecture developed by IOTA and designed specifically for the IoT.
Due to the lack of fees, malicious nodes can exploit this feature to generate an unbounded number of transactions and perform a denial of service attacks. We propose to mitigate these attacks through verifiable delay functions. These functions, which are non-parallelizable, hard to compute, and easy to verify, have been formulated only recently. In our work, we design a denial of service prevention mechanism which addresses network heterogeneity, limited node computational capabilities, and hardware-specific implementation optimizations.
Verifiable delay functions have mostly been studied from a theoretical point of view, but little has been done in tangible applications. Hence, this paper can be considered as a pioneer work in the field, since it builds a bridge between this theoretical mathematical framework and a real-world problem. Roman Overko, Rodrigo Ordóñez-Hurtado, Sergiy Zhuk, Pietro Ferraro, Andrew Cullen, Robert Shorten.
We introduce a permissioned distributed ledger technology DLT design for crowdsourced smart mobility applications. This architecture is based on a directed acyclic graph architecture similar to the IOTA tangle and uses both Proof-of-Work and Proof-of-Position mechanisms to provide protection against spam attacks and malevolent actors.
In addition to enabling individuals to retain ownership of their data and to monetize it, the architecture is also suitable for distributed privacy-preserving machine learning algorithms, is lightweight, and can be implemented in simple internet-of-things IoT devices. To demonstrate its efficacy, we apply this framework to reinforcement learning settings where a third party is interested in acquiring information from agents. In particular, one may be interested in sampling an unknown vehicular traffic flow in a city, using a DLT-type architecture and without perturbing the density, with the idea of realizing a set of virtual tokens as surrogates of real vehicles to explore geographical areas of interest.
Consequently, the environment stays unaffected i. The design of such a DLT architecture is presented, and numerical results from large-scale simulations are provided to validate the proposed approach.
Panagiota Katsikouli, Pietro Ferraro, Hugo Richardson, Hanson Cheng, Siobhan Anderson, Deepak Mallya, David Timoney, Marc Masen, Robert Shorten.
The link between transport related emissions and human health is a major issue for municipalities worldwide and one of the main challenges to address in the context of Smart Cities. Specifically, Particulate Matter PM emissions from exhaust and non-exhaust sources are one of the main worrying contributors to air-pollution.
In this paper, we challenge the notion that a ban on internal combustion engine vehicles will result in clean and safe air in our cities, since emissions from tyres and other non-exhaust sources are expected to increase in the near future. We support this claim through simple calculations, based on publicly available data from the city of Dublin, and we present a high level solution to this problem, in the form of a control mechanism and ride-sharing scheme to limit the number of vehicles and therefore maintain the amount of transport-related PM to safe levels.
Thanks to the use of Distributed Ledger Technology our proposal is entirely distributed, fair and privacy preserving, which makes it ideal for application in the Smart City domain. Voting algorithms have been widely used as consensus protocols in the realization of fault-tolerant systems. These algorithms are best suited for distributed systems of nodes with low computational power or heterogeneous networks, where different nodes may have different levels of reputation or weight.
Our main contribution is the construction of a fair voting protocol in the sense that the influence of the eventual outcome of a given participant is linear in its weight. Specifically, the fairness property guarantees that any node can actively participate in the consensus finding even with low resources or weight. We investigate effects that may arise from weighted voting, such as loss of anonymity, centralization, scalability, and discuss their relevance to protocol design and implementation.
The basic idea of voting protocols is that nodes query a sample of other nodes and adjust their own opinion throughout several rounds based on the proportion of the sampled opinions. In the classic model, it is assumed that all nodes have the same weight. We study voting protocols for heterogeneous weights with respect to fairness.
A voting protocol is fair if the influence on the eventual outcome of a given participant is linear in its weight. Previous work used sampling with replacement to construct a fair voting scheme. However, it was shown that using greedy sampling, i.
In this paper, we propose several solutions to the committee selection problem among participants of a distributed ledger based on a decentralized acyclic graph DAG. Our methods are based on a ledger intrinsic reputation model that serves as a selection criterion. The main difficulty arises from the fact that the DAG ledger is. Permissionless distributed ledger technologies DLTs utilize an underlying peer-to-peer network to disseminate transactions.
These types of networks have been shown to be highly heterogeneous. However, current DLTs fail to consider this heterogeneity which can render low-end nodes to be unable to participate in consensus. Wide-scale adoption of the Internet of Everything requires decentralized security, responsibility, and trust among the stakeholders.
All these can be achieved by a Distributed Ledger Technology DLT backbone. Unlike blockchain, the Tangle uses a Directed Acyclic Graph DAG structure, and its design does not cover essential blockchain pitfalls, including expensive Proof of Work PoW , limited throughput, high transaction costs, and significant confirmation delays.
The original IOTA is evolving into a Coordinator-less environment, the Coordicide. Nevertheless, each new evolutionary update adds complexity and may introduce security threats. Our survey outlines security vulnerabilities on IOTA and their mitigation strategies and explores several important open directions to be researched further. The vulnerabilities are discussed on both the original IOTA and its upcoming Coordicide version. In summary, this survey is first in the field for i understanding the basic functionalities of the IOTA, ii listing the security solutions provided in the literature against the reported and unreported attacks, and iii presenting open research questions RQ for directing the future investigations on IOTA.
The importance of efficient multi-exponen- tiation algorithms in a large spectrum of cryptographic applications continues to grow. Many of the algorithms proposed in the past pay attention exclusively on the minimization of the number of modular multiplications.
However, a short reduction of the multiplicative com- plexity can be easily overshadowed by other figures of merit. In this article we demonstrate a large number of practical results aimed at concrete cryptographic tasks requiring multi-exponentiations and provide rec- ommendations on the best possible algorithmic strate- gies for different selection of security parameters. In this paper we present a feedback approach to the design of an attack mitigation policy for DAG-based Distributed Ledgers.
We develop a model to analyse the behaviour of the ledger under the so called Tips Inflation Attack and we design a control strategy to counteract this attack strategy. The efficacy of this approach is showcased through a theoretical analysis, in the form of two theorems about the stability properties of the ledger with and without the controller, and extensive Monte Carlo simulations of an agent-based model of the distributed ledger.
In distributed ledger technologies DLTs with a directed acyclic graph DAG data structure, a message-issuing node can decide where to append that message and, consequently, how to grow the DAG. This DAG data structure can typically be decomposed into two pools of messages: referenced messages and unreferenced messages tips. The selection of the parent messages to which a node appends the messages it issues, depends on which messages it considers as tips. However, the exact time that a message enters the tip pool of a node depends on the delay of that message.
In previous works, it was considered that messages have the same or similar delay; however, this generally may not be the case. We introduce the concept of classes of delays, where messages belonging to a certain class have a specific delay, and where these classes coexist in the DAG. We provide a general model that predicts the tip pool size for any finite number of different classes.
This categorisation and model is applied to the first iteration of the IOTA 2. Coordicide , where two distinct classes, namely value and data messages, coexist. We show that the tip pool size depends strongly on the dominating class that is present. Finally, we provide a methodology for controlling the tip pool size by dynamically adjusting the number of references a message creates.
Submitted to the Conference on Security and Cryptography for Networks Verifiable Delay Functions VDFs are a set of new cryptographic schemes ensuring that an agent has spent some time evaluation phase in a unparalleled computation. This has led VDFs to recently gain exposure in large-scale decentralized projects as a core component of consensus algorithms or spam-prevention mechanisms.
Andreas Penzkofer, Bartosz Kusmierz, Angelo Capossele, William Sanders, Olivia Saa. In recent years several distributed ledger technologies based on directed acyclic graphs DAGs have appeared on the market. Similar to blockchain technologies, DAG-based systems aim to build an immutable ledger and are faced with security concerns regarding the irreversibility of the ledger state. However, due to their more complex nature and recent popularity, the study of adversarial actions has received little attention so far.
In this paper we are concerned with a particular type of attack on the IOTA cryptocurrency, more specifically a Parasite Chain attack that attempts to revert the history stored in the DAG structure, also called the Tangle.
In order to improve the security of the Tangle, we present a detection mechanism for this type of attack. In this mechanism, we embrace the complexity of the DAG structure by sampling certain aspects of it, more particularly the distribution of the number of approvers. We initially describe models that predict the distribution that should be expected for a Tangle without any malicious actors. We then introduce metrics that compare this reference distribution with the measured distri- bution.
Upon detection, measures can then be taken to render the attack unsuccessful. We show that due to a form of the Parasite Chain that is different from the main Tangle it is possible to detect cer- tain types of malicious chains. We also show that although the attacker may change the structure of the Parasite Chain to avoid detection, this is done so at a significant cost since the attack is rendered less efficient.
The main application of this model is that it is used as a base for the IOTA cryptocurrency system . This paper presents a novel leaderless protocol FPC-BI: Fast Probabilistic Consensus within Byzantine Infrastructures with a low communicational complexity and which allows a set of nodes to come to a consensus on a value of a single bit.
The paper makes the assumption that part of the nodes are Byzantine, and are thus controlled by an adversary who intends to either delay the consensus, or break it this defines that at least a couple of honest nodes come to different conclusions.
We prove that, nevertheless, the protocol works with high probability when its parameters are suitably chosen. Best ECN Forex Brokers Best STP Forex Brokers Best NDD Forex Brokers Best Crypto Brokers Best CFD Brokers Best ETF Brokers Best Binary Options Brokers Best Oil Brokers Best Gold Brokers Best Commodity Brokers Best Stock Trading Brokers. Avatrade Review 2. HFM Review 3. FBS Review 4. Tickmill Review 5. Exness Review 6. BDSwiss Review 7. IC Markets Review 8.
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Put differently, the repo rate is the interest rate at which the South African Reserve Bank SARB is willing to extend credit to private banks in the country. The SARB utilises its refinancing system as the main process to implement its monetary policy. The refinancing system, introduced in March and modified in , , , , , and , is a system of refinancing through repurchase transactions repos. The repo rate charged by the Reserve Bank influences the interest rates charged by commercial banks.
The SARB ensures that the repo rate remains effective by compelling the commercial banks to borrow a substantial amount i. the liquidity requirement , also called the cash reserve requirement from the Reserve Bank.
Therefore, the SARB has to intervene regularly in the money market to create and monitor a liquidity shortage , meaning it has to drain excess liquidity from the money market. In addition to the cash reserve requirement, the SARB uses various types of open market instruments to create and maintain the liquidity shortage. Open market instruments include, inter alia, SARB debentures, reverse repos, and foreign exchange swaps.
The shortage of liquidity or liquidity requirement that has been created in the money market, is refinanced at the repo rate. The Monetary Policy Committee MPC held 7 meetings and issued seven statements about the state of the South African economy during September and November meetings excluded, all the other meetings delivered decisions to cut the repo rate.
Lesetja Kganyago, governor of the SARB, announced on behalf of the MPC that it unanimously decided to reduce the repo rate by 25 basis points to 6. The MPC unanimously decided to decrease the repo rate by basis points to 5. The MPC statement on April 14, , was published only one month after its March statement. This was quite unusual because normally the MPC issues statements regarding the repo rate and macroeconomic indicators on a bi-monthly basis. This step can mainly be ascribed to the Covid pandemic and the subsequent lockdown.
The SARB also warned that the coronavirus pandemic will have a significant impact on health and social issues. The MPC of the Reserve Bank announced its decision to cut the repo rate by 50 basis points to 3. The governor of the SARB announced on behalf of the MPC that the repo rate will be cut by another 25 basis points to 3. This was the fifth time in that the SARB has decreased the repo rate, totalling basis points. The governor mentioned that this is the lowest repo rate since the system was introduced in The MPC adjusted its GDP forecast for to Its forecasts for core inflation are 3.
The SARB cut the repo rate from 6. Interesting to note, the repo rate ranged between an all-time high of A significant difference of The average repo rate for the period to is The interest rates charged by the commercial bank is linked to the repo rate.
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